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Citations for "Expectations, Learning and Monetary Policy: An Overview of Recent Rersearch"

by Evans, George W. & Honkapohja, Seppo

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  1. Dieppe, Alistair & Pandiella, Alberto González & Hall, Stephen & Willman, Alpo, 2013. "Limited information minimal state variable learning in a medium-scale multi-country model," Economic Modelling, Elsevier, vol. 33(C), pages 808-825.
  2. Herro, Nicholas & Murray, James, 2011. "Dynamics of Monetary Policy Uncertainty and the Impact on the Macroeconomy," MPRA Paper 30387, University Library of Munich, Germany.
  3. Brzoza-Brzezina, Michal & Kot, Adam, 2008. "The Relativity Theory Revisited: Is Publishing Interest Rate Forecasts Really so Valuable?," MPRA Paper 10296, University Library of Munich, Germany.
  4. Mewael Tesfaselassie, 2011. "Trend Growth and Learning About Monetary Policy Rules," Kiel Working Papers 1744, Kiel Institute for the World Economy.
  5. Felix Geiger & Oliver Sauter, 2009. "Deflationary vs. Inflationary Expectations - A New-Keynesian Perspective with Heterogeneous Agents and Monetary Believes," Diskussionspapiere aus dem Institut für Volkswirtschaftslehre der Universität Hohenheim 312/2009, Department of Economics, University of Hohenheim, Germany.
  6. Kozicki, Sharon, 2012. "Macro has progressed," Journal of Macroeconomics, Elsevier, vol. 34(1), pages 23-28.
  7. George W. Evans & Seppo Honkapohja, 2007. "Robust Learning Stability with Operational Monetary Policy Rules," CDMA Working Paper Series 200719, Centre for Dynamic Macroeconomic Analysis, revised 15 Jan 2008.
  8. Milani, Fabio, 2009. "Expectations, learning, and the changing relationship between oil prices and the macroeconomy," Energy Economics, Elsevier, vol. 31(6), pages 827-837, November.
  9. Fabio Milani, 2008. "Learning about the Interdependence between the Macroeconomy and the Stock Market," Working Papers 070819, University of California-Irvine, Department of Economics.
  10. Gomes, Orlando, 2009. "Stability under learning: The endogenous growth problem," Economic Modelling, Elsevier, vol. 26(5), pages 807-816, September.
  11. Eric Schaling & Mewael F. Tesfaselassie, 2013. "Trend Growth and Learning About Monetary Policy Rules in a Two-Block World Economy," Kiel Working Papers 1818, Kiel Institute for the World Economy.
  12. Chevillon, Guillaume & Massmann, Michael & Mavroeidis, Sophocles, 2010. "Inference in models with adaptive learning," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 341-351, April.
  13. Xiao, Wei, 2013. "Learning about monetary policy rules when the housing market matters," Journal of Economic Dynamics and Control, Elsevier, vol. 37(3), pages 500-515.
  14. Tokuoka, Kiichi, 2013. "Saving response to unemployment of a sibling," Journal of Economic Behavior & Organization, Elsevier, vol. 89(C), pages 58-75.
  15. Michał Gradzewicz & Krzysztof Makarski & Joanna Tyrowicz, 2013. "Do We Really Need to Start From Scratch? Economic Theory on Economic Crises," Working Papers 2013-17, Faculty of Economic Sciences, University of Warsaw.
  16. Murray, James, 2011. "Learning and judgment shocks in U.S. business cycles," MPRA Paper 29257, University Library of Munich, Germany.
  17. Stefano Eusepi, 2008. "Central bank transparency and nonlinear learning dynamics," Staff Reports 342, Federal Reserve Bank of New York.
  18. Gabriel DESGRANGES and Stéphane GAUTHIER, 2008. "Stabilizing through Poor Information," THEMA Working Papers 2008-32, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
  19. Berg, Claes & Jansson, Per & Vredin, Anders, 2004. "How Useful are Simple Rules for Monetary Policy? The Swedish Experience," Working Paper Series 169, Sveriges Riksbank (Central Bank of Sweden).
  20. Martin ZUMPE (GREThA UMR CNRS 5113), 2010. "Monetary Policy Rules, Learning and Stability: a Survey of the Recent Literature (In French)," Cahiers du GREThA 2010-01, Groupe de Recherche en Economie Théorique et Appliquée.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.